Secure-by-design serverless workflows on the Edge-Cloud Continuum through the Osmotic Computing paradigm

Article Automation & Control Systems

iFaaSBus: A Security- and Privacy-Based Lightweight Framework for Serverless Computing Using IoT and Machine Learning

Muhammed Golec et al.

Summary: This article introduces a new framework called iFaaSBus for protecting and analyzing the data of COVID-19 patients. The framework utilizes the concepts of IoT, machine learning, and serverless computing to automatically manage resources and provide privacy and security protection, with fast response time. Through evaluating the performance of various machine learning models, the K-nearest neighbor model achieves the highest accuracy rate.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

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Article Business

Security by Design for Big Data Frameworks Over Cloud Computing

Feras M. Awaysheh et al.

Summary: Cloud deployment architectures have become a preferred computation model for Big Data operations, offering scalability, flexibility, and cost-effectiveness. However, the shift to cloud deployment raises new security concerns as data is no longer under direct user control. Developing a comprehensive security plan based on preliminary analysis is crucial for widespread adoption of cloud architectures.

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2022)

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Proceedings Paper Automation & Control Systems

OpenWolf: A Serverless Workflow Engine for Native Cloud-Edge Continuum

Christian Sicari et al.

Summary: Nowadays, Serverless computing, especially Function as Service (FaaS), is widely used in Cloud services due to its advantages in service costs, speed of development, and ease of deployment. However, without a Cloud broker to coordinate functions, building FaaS native applications is still not possible, limiting its usage to simple and specific jobs. This paper introduces the concept of Scientific Workflow using the FaaS paradigm to enable the realization of full Native Serverless Workflows-based applications.

2022 IEEE INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, INTL CONF ON CLOUD AND BIG DATA COMPUTING, INTL CONF ON CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH) (2022)

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Article Computer Science, Hardware & Architecture

An Osmotic Computing Enabled Domain Naming System (OCE-DNS) for distributed service relocation between cloud and edge

Christian Sicari et al.

Summary: Osmotic computing enables transparent deployment of distributed services over the Cloud-Edge-Internet of Things continuum, optimizing response time and computational resource usage. The focus is on identifying MELs serving specific geographical areas and the advanced DNS OCE-DNS, which supports quick RR readings and updates.

COMPUTERS & ELECTRICAL ENGINEERING (2021)

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Article Engineering, Electrical & Electronic

Performance Evaluation of Containerization in Edge-Cloud Computing Stacks for Industrial Applications: A Client Perspective

Yu Liu et al.

Summary: This paper evaluates the performance of containerization-based edge-cloud computing infrastructures from an industrial client perspective, showing that containerized edge computing performs well in terms of communication, computing, and intelligence capabilities. However, there is still room for performance improvements between current edge-cloud infrastructure implementations and time-critical industrial applications, with the suggestion of considering partitioning industrial applications into microservices during solution design.

IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY (2021)

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Article Computer Science, Information Systems